9 часов назад
Full Stack - Lead Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Full Stack - Lead Engineer (AI): Building production-grade full-stack applications for an enterprise AI agent infrastructure platform with an accent on React, TypeScript, Python, FastAPI, authentication, databases, and deployment. Focus on designing complete products, improving scalability and reliability through async programming, and shipping services with Docker and AWS.
Location: Bengaluru, India · Hybrid
Company
is a Series A–backed enterprise AI company building a full-stack agent infrastructure platform for designing, deploying, and governing production-grade AI agents.
What you will do
- Build full-stack applications with React and Tailwind on the frontend and Python with FastAPI on the backend.
- Design and ship end-to-end features covering UI, APIs, authentication, data, and deployment.
- Write scalable and maintainable TypeScript, JavaScript, and Python.
- Implement authentication, authorization, security best practices, and async programming.
- Work with SQL and NoSQL databases, including MySQL, MongoDB, Firebase, and Supabase.
- Deploy and operate services with Docker and AWS while collaborating with product and engineering teams.
Requirements
- 5+ years of experience building full-stack products in production.
- Strong frontend skills with React, TypeScript or JavaScript, and Tailwind.
- Strong backend skills with Python and FastAPI.
- Understanding of authentication, authorization, async programming, scalability, REST APIs, and SQL or NoSQL databases.
- Experience owning features from concept through deployment.
- Strong problem-solving and systems-thinking abilities.
Nice to have
- Experience with Next.js or Redux.
- Experience with AWS, Firebase, GCP, or Azure.
- Knowledge of CI/CD pipelines and Git.
- Exposure to GenAI or MLOps concepts.
Culture & Benefits
- Build real products on a production-grade AI platform.
- Work at the intersection of full-stack engineering and AI systems.
- High ownership, low bureaucracy, and direct impact.
- Fast learning, rapid shipping, and growth alongside an engineering team.
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